Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders

Forecasted gait trajectories of children could be used as feedforward input to control lower limb robotic devices, such as exoskeletons and actuated orthotic devices (e.g., Powered Ankle Foot Orthosis—PAFO). Several studies have forecasted healthy gait trajectories, but, to the best of our knowledge...

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Bibliographic Details
Main Authors:	Al-Hares, M.K (Author), Kolaghassi, R. (Author), Marcelli, G. (Author), Sirlantzis, K. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	actuated orthoses Actuated orthosis artificial intelligence Child children Convolutional neural networks deep learning Deep learning Diseases Errors Exoskeleton Exoskeleton (Robotics) exoskeletons forecasting Forecasting gait Gait Gait analysis kinematics Kinematics Long short-term memory Low limb robot Lower limb lower limb robot motion capture Motion capture Orthoses Orthotics pathological gait Pathological gait prediction Trajectories
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View Fulltext in Publisher

Performance of Deep Learning Models in Forecasting Gait Trajectories of Children with Neurological Disorders

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